Five domains. One intelligence layer.
The first commercial Supply Chain Operations platform that adds to your stack instead of replacing it. Procurement, operations, planning, logistics, analytics — on one architecture that observes the ERP data your team already has, surfaces the patterns and opportunities your ERP cannot show you about itself, and reconciles across systems when you run more than one.
The category has structurally failed to ship three things.
Procurement suites compete on features. AssetShop competes on what the category has structurally failed to deliver — and what every operator has been quietly working around for forty years.
Every procurement suite asks you to make their system the center of operations. Years lost to migration. Board-level risk on every renewal cycle. Operators paying the cost of vendor consolidation strategies that aren't theirs.
Every incumbent operates within one functional silo — procurement, or planning, or logistics. Cross-domain decisions die in email threads. A demand surprise becomes a procurement crisis becomes a margin question, weeks late.
Enterprise software pricing escalates every renewal cycle — that's the model. Public-company vendors are structurally unable to offer commercial predictability. The renewal is always less favorable than the original.
One platform · five integrated domains.
Every domain is fully built and shipping today. Every domain shares the same intelligence layer, the same identity, the same audit chain. Domain teams stop fighting their tooling — they fight the actual problem.
What competitors can't ship · because their architecture won't allow it.
A system that adds to your stack, not replaces it
Every major procurement suite asks you to make their system the center of operations. AssetShop sits on top of what you already run — SAP, Oracle, NetSuite, Workday — and surfaces the patterns and disagreements those systems carry but cannot show you about themselves. No migration project. No board-level risk. No quarters lost to implementation.
Intelligence that moves across functions
Every incumbent operates within a single functional silo — procurement, or planning, or logistics, or analytics. AssetShop is architected to carry signals between them. A price shock in one domain becomes a decision-ready memo in another. The competitors built departments. This is architected as one organism.
Stability built into the partnership
Enterprise software terms get worse every renewal cycle — that's the model. Founding 15 partners are aligned on commercial terms that stay favorable across the partnership lifecycle, with priority build-out of integrations that serve their stack. Commercial predictability that public-company vendors are structurally unable to offer.
Mass PO Release · consolidate before you spend.
Procurement teams sign off on individual POs all day, missing every consolidation opportunity. Mass PO Release identifies supplier-blocked clusters, prices the consolidation against your carrier rate cards, and proposes one release per facility — with the full audit chain.
| Supplier | POs | After | Saves |
|---|---|---|---|
Acme Steel supplier-blocked bulk | 14 | 1 | $5,200 |
Pacific Plastics supplier-blocked bulk | 9 | 1 | $3,250 |
Eastern Components supplier-blocked bulk | 8 | 1 | $2,930 |
Pruitt Forging 2 facilities | 14 | 2 | $5,200 |
Other cadence: weekly | 5 | 2 | $220 |
Optimization intelligence · recommendations, not dashboards.
Most platforms give you reports. We give you specific, dollar-quantified recommendations: which MOQs to renegotiate, which safety stocks to right-size, which releases to consolidate. Every recommendation cites its math, runs on live data, and writes the decision to a cryptographic audit ledger.
| Component | Current | EOQ | Annual opp |
|---|---|---|---|
SMT Cap 22µF MOQ 4× EOQ | 50,000 | 12,400 | $48,200 |
PCB Rev A MOQ 3.2× EOQ | 500 | 157 | $31,400 |
MCU 32-bit MOQ 2.7× EOQ | 1,000 | 370 | $22,800 |
Power SoC MOQ 1.8× EOQ | 500 | 285 | $14,500 |
› release_wo 111 · 6 lines
› expedite 16 · sig-linked
✓ deterministic · two planners → identical output
Demand-Production Sync · before the gap becomes the headline.
Forecast bias is the silent margin killer. Demand-Production Sync catches it 4–6 weeks earlier than the typical S&OP cadence — and routes the action across procurement, operations, and logistics in one cross-domain signal trace.
Demand forecast in. Consolidated supplier release plan out — with freight, pallets, and incoterms automatically determined.
One forecast file. The entire downstream procurement plan handled in a single integrated pass. No five disconnected reports across five systems. This is the value AssetShop delivers that no one else does — because no one else sits across procurement, planning, and logistics with shared truth.
Aggregate result from a single 13-week planning horizon. 51% average truckload utilization compares to roughly 25% if each PO line were shipped individually. Each batch carries a recommended freight mode, pallet count, transit days, incoterms recommendation, and savings vs un-consolidated baseline. Click any batch in the demo to see line-by-line breakdown, freight mode comparison, and incoterms rationale with primary + alternate.
For the manufacturer: a procurement-ready release plan that maximizes truckload utilization, concentrates supplier order frequency for cost-negotiation leverage, and produces freight + duty handoff terms automatically.
For the supplier: a predictable order cadence that lets them improve their own inventory planning and pricing posture, with batch ordering creating volume-discount conversations on next contract renewal.
Why no one else ships this: the integration of procurement + planning + logistics into a single coherent release plan requires shared truth across all three domains. AssetShop's architecture is the spine that makes it possible — the structural answer to "why couldn't I do this in my ERP?"
Cross-domain signals · the architecture in motion.
Every signal is a payload that carries from a source domain to a set of target domains, with a recommended action and a complete audit trace. Six signals are wired by default; tenants build more on the same primitive.
Targets · which domains need to act (operations, planning, analytics)
Trace · how the data flowed end-to-end (3–4 step path, full lineage)
Action · the wired workflow (dual-source, capacity sim, etc.)
Impact · monetized exposure or savings (in $ or units, with confidence)
Sits on top of what you already run.
Connectors are first-party, maintained by AssetShop, with deterministic data contracts and Founding-15 priority for what ships next. No third-party middleware. No ETL surprise.
One platform. Multiple ERPs. System-of-record election per entity type.
SAP S/4HANA at HQ, NetSuite at a subsidiary, Oracle Fusion in a regional finance org. AssetShop ingests all three, elects a system-of-record per entity type at onboarding, and surfaces disagreements as actionable variance. Suppliers from SAP. Plant inventory from each plant ERP. GL from Workday. Every record carries provenance.
Two NetSuite instances after an acquisition. Three SAP instances from regional rollouts. AssetShop deduplicates suppliers and materials by tax-ID + part-number normalization, surfaces same-vendor-different-terms variance for negotiation leverage, and gives finance a single consolidated view without forcing an ERP migration project.
Every input flows through your existing systems. Every output exports clean.
AssetShop slots into your stack rather than replacing it. Master data flows in through certified ERP / MRP / TMS / WMS connectors or through Excel and CSV templates handed to anyone on your team. Every view, chart, table, and dataset on the platform exports back to Excel with one click. And you can connect your own AI provider to query and reason over your tenant data without your information ever leaving your security boundary.
Every supported data flow runs through one of two paths: a certified bidirectional connector to your system of record (SAP S/4 · Oracle · NetSuite · Workday · Manhattan · Blue Yonder · Microsoft Dynamics · Coupa · Ariba · plus 35+ more), or a pre-formatted Excel/CSV template handed to your data team or supplier — round-tripped cleanly with the platform.
Sixteen specialized analytics views including Kraljic portfolio matrix · global supplier network · network topology · risk heat maps · shipping lane flow · spend treemaps · capacity projection · pallet storage forecast · working capital live dashboard · cost-to-serve attribution · decision audit trail with cryptographic provenance · risk radar with live signal integration. Multi-level supplier filtering across category × capability × performance × financial trend. Scenario library with one-click what-if simulations, cascade modeling, and built-in collaboration messaging on every entity.
Every list, table, chart, dataset, and analytics view ships with one-click CSV and XLSX export. The procurement team that lives in spreadsheets keeps living in spreadsheets — but those spreadsheets now have audit-grade provenance, refresh on demand, and round-trip cleanly back to the platform.
Canonical schemas, field-level provenance, and integration specifications are shared during qualification with mutual NDA and engagement-grade access controls.
Beyond operations: the analytics that turn supply chain into strategic infrastructure.
Most supply-chain platforms optimize transactions. AssetShop layers on capabilities that turn your operational data into compounding strategic advantage — surfaces hidden in standard ERP reporting, decision quality measured over time, real-time signal integration, and working-capital outcomes that flow directly to the CFO conversation.
DPO, DSO, DIO trends with daily drift detection. When any metric drifts more than 0.5 days outside trailing-90 baseline, the platform surfaces the operational decisions driving it — which supplier extended terms, which customer slowed payment, which SKU is over-stocking. Collapses the CFO feedback loop from "discovered after quarter close" to "addressable today."
Beyond gross margin per SKU: full attribution including customer-specific freight, returns rate, custom packaging premium, payment-terms financing cost, and order-handling labor. Surfaces hidden margin destroyers and quiet-growth gems. Drives commercial conversations from intuition to evidence.
Every recommendation logged with hash-chained provenance: the data records consulted, the model version, parameter snapshot, actor, and outcome. After 90/180/360 days, the audit becomes institutional decision memory — which models earned trust, which decisions paid off, what tribal knowledge to preserve through team transitions.
Real-time signals across trade policy, weather, labor, regulatory, supplier credit, FX/commodities — mapped to your specific network and quantified for your impact. When a signal matches a pre-built scenario template, response playbook is one click away. Collapses awareness time from days to minutes.
Eight pre-built scenarios — tariff shocks, supplier insolvency, demand surge, plant outage, FX shifts, capacity constraint, port strike, regulatory expansion — each modeling impact across procurement, operations, planning, and logistics with auto-generated response playbooks. Run multiple in parallel to compare strategic resilience.
Filter suppliers by category × capability × performance metrics × financial trend. 21 capabilities organized in process / certification / commercial groups. Six performance/financial filters including credit grade, OTIF, quality, revenue trend. Stack filters across dimensions for surgical sourcing analysis.
Your AI · your security boundary · your governance.
Connect your existing AI provider — OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or a private deployment — to query and reason over your AssetShop tenant data through scoped read-only API tokens. AssetShop never relays customer tenant data to a third-party AI; instead, your AI infrastructure connects directly to a customer-scoped read-only endpoint and queries on demand. Your AI provider sees only what your token scope permits. Data residency follows your AI's deployment region. Your existing AI usage governance, audit logs, and approved-models policy carry forward.
Talk to the founder. Custom connectors are scoped collaboratively — most production-grade adapters take 4-8 weeks. We work with your stack rather than asking you to change it.
Built for regulated industries from day one.
Multi-region · zero-trust · hash-chained audit · custody-grade key management. Designed against the same security expectations a F500 enterprise applies to its core systems.
Active-active deployment across US East · US West · EU Central · APAC. Tenant residency election at sign-up. Zero-trust network · custody-grade key management on Cloud KMS.
Every event is hash-chained — including approvals, MRP runs, signal traces, and integration calls. Tamper-evident by construction. Signed receipts available on request.
90 days. Three plants. One intelligence layer.
A representative outcome model based on the documented Working Capital Methodology applied to a synthetic mid-market manufacturer profile. No real customer is referenced. Profile: ~$450M revenue, three plants, ~$54M YTD procurement spend, moderate planning maturity, three disruptions per year. Use the calculator below to model your own profile.
A common pattern across mid-market manufacturers: previous attempts to consolidate operational visibility through a central procurement suite ate years of effort and never produced the cross-functional view the operations team actually needed. AssetShop's read-only overlay sits beside what's already there. Within eight weeks, cross-domain signals route across plants — without modifying source systems, without a multi-year migration project, without a rip-and-replace.
Project your Year 1 working capital release.
Based on the documented methodology in commercial/WORKING_CAPITAL_METHODOLOGY.md. Five conversion paths, calibration multipliers from category benchmarks, transparent math. Adjust the inputs to your operational profile; the calculator works against your numbers, not vendor ranges.
Combined cash impact across five conversion paths. Calibrated against documented category benchmarks; refined post-launch with cohort data. Methodology details below.
Year-1 capture is conservative — methodology assumes 60% of identified leakage is recovered as the engagement matures. Year-2 capture (80%) reflects pattern-library expansion and process integration. Year-3 capture (95%) reflects steady-state operational discipline.
Calculator outputs are methodology projections, not customer outcomes. Pre-launch, AssetShop has zero deployed customers; multipliers are calibrated to category benchmarks rather than observed data. Below is an honest breakdown of confidence per element so you can pressure-test our claims.
Recommendation: use the conservative calibration (0.5×) for board materials and budget approval. The conservative case still produces 15:1-30:1 ROI for typical profiles; if your CFO finds even that defensible, the base and aggressive cases are upside.
Four tiers · one platform.
Pilot to evaluate. Founding 15 to commit. Production for post-cohort. Enterprise for F500 scale. Every tier includes the full SCO surface — five domains, all current connectors, full feature parity. The differences are commercial structure (term, SLA, support depth), not feature gating.
Cohort selected by fit, not first-come. Founder-led every conversation. The locked rate is structural — not a negotiating position.
Questions buyers ask first.
Five domains. One layer. Yours, today.
Walk through the platform with seven personas, six cross-domain signals, and eight wired action workflows. No signup. No deck. Just the working software.
Capital allocation, not feature procurement.
AssetShop is a working-capital instrument, not a software line item. Mid-market manufacturer CFOs who evaluate AssetShop translate the operational outcomes into the only language that matters at the board: cash conversion cycle, return on invested capital, audit-defensibility, predictability.
Founding 15 prospects receive a 12-15 slide CFO deck template structured for internal board approval. Customer-side CFO populates worksheet inputs (revenue, spend, leakage, working capital baselines); deck calculates per-path impact, three-year cumulative ROI, and risk-mitigated investment recommendation. Distributed during qualification; no public download.